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Redirect Observations — String Normalisation + Secondary-measure Weighted Mean
x402
Redirect Observations — String Normalisation + Secondary-measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Performs string normalisation and secondary-measure weighted mean analysis on up to 200 redirect observation records (redirect_count, final_status_code), returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Redirect observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied redirect observations records (redirect_count, final_status_code). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns 2 independent analytical reports: one applying string normalisation to the supplied redirect observation rows, and one computing a secondary-measure weighted mean on the selected field (redirect_count or final_status_code) across the submitted rows (up to 200 records). No external lookups or predictions are made — all analysis is performed on the supplied data using local analytical engines.
Example use cases
Weighted mean of redirect counts by site group
“I have 80 redirect observation records from last month with redirect_count and final_status_code for each row across three site groups — can you compute the string-normalised weighted mean on redirect_count for all of them?”
Status code distribution analysis across dates
“Here are 150 rows of redirect observation data covering two site groups over the past quarter — run the string normalisation and secondary-measure weighted mean report focused on the final_status_code field so I can see how status codes are distributed.”
Daily redirect anomaly review for two groups
“I've got 50 daily redirect observation entries for group-alpha and group-beta, each with redirect_count and final_status_code — can you apply string normalisation and compute the weighted mean analysis so I can spot any anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-14-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular redirect observation data (with redirect_count and final_status_code columns) and need both string normalisation and a weighted mean analysis in a single paid call. It is best suited for offline batch analytical workflows on up to 200 rows where no live web lookups, predictions, or external enrichment are required. Prefer alternatives if you need real-time redirect monitoring, live HTTP status checking, or analysis of more than 200 rows at once.
Side effects
- Submitting more than 200 rows returns an error or truncates input
- Missing required fields (row_id, site_group, date, redirect_count, final_status_code) cause validation failure
- Invalid date format (non YYYY-MM-DD) triggers pattern validation error
- Null values in both numeric fields may produce degenerate weighted mean output
- Invalid enum value for field selector (must be redirect_count or final_status_code) returns schema error
- Payment of 0.01 USDC not supplied or rejected blocks request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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